A Dynamic Multi-Agent Algorithm applied to challenging benchmark problems.
Julien LepagnotAmir NakibHamouche OulhadjPatrick SiarryPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- benchmark problems
- simulated annealing
- job shop scheduling problem
- test problems
- multi agent
- optimization problems
- detection algorithm
- objective function
- expectation maximization
- dynamic programming
- vehicle routing problem with time windows
- worst case
- learning algorithm
- cost function
- preprocessing
- computational complexity
- optimisation problems
- combinatorial optimization
- optimization algorithm
- segmentation algorithm
- particle swarm optimization
- probabilistic model
- reinforcement learning